Associate Director, Product Management

Responsibilities

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• Manage products for AI‑driven tools supporting regulatory and other R&D workflows, including regulatory strategy and innovation, productivity, document workflows, decision support, and automation.
  
• Develop and maintain product roadmaps aligned with business objectives and evolving AI capabilities.
  
• Collaborate with business and technology teams to define product strategy, vision, and execution with a cross‑functional product team, translating human‑centered workflows into clear requirements, wireframes, and user stories.
  
• Support prioritization across competing initiatives, balancing impact and feasibility.
  
• Identify opportunities where generative AI can streamline document creation, review, and knowledge access.
  
• Partner closely with regulatory teams to develop solutions fit‑for‑purpose and integrated into key workflows.
  
• Engage partners across R&D to understand and incorporate opportunities for synergy.
  
• Collaborate with data scientists, ML engineers, platform teams, UX, and business partners in a matrixed environment.
  
• Support alignment among technical and business teams.
  
• Provide product updates and insights to leadership across Data Science and Digital Health.
  
• Support end‑to‑end product lifecycle from concept to launch and iteration.
  
• Define user stories, acceptance criteria, and success metrics.
  
• Manage backlogs and coordinate sprints with technical and design teams.
  
• Ensure products meet quality, usability, security, and compliance expectations.
  
• Partner with engineering teams on model integration, data prep, and evaluation cycles.
  
• Apply knowledge of generative AI, RAG, agentic systems, and prompt engineering to shape product capabilities.
  
• Collaborate with data and platform teams to leverage AI‑ready datasets and vector retrieval pipelines.
  
• Support change management and adoption of AI‑enabled tools through onboarding and feedback loops.
  

Requirements

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• Advanced degree (MS/PhD) or equivalent experience in Life Sciences, Data Science, Computer Science, AI, or related field
  
• 6–8+ years of product management or digital product development experience
  
• 2–3+ years collaborating with data science/ML or analytics-driven teams
  
• Experience contributing to AI/ML or generative AI product development
  
• Familiarity with generative AI concepts (RAG, knowledge graphs, agent systems, evaluation frameworks)
  
• Ability to translate workflows and data dependencies into product requirements
  
• Experience with agile methodologies, UX principles, and product analytics
  
• Experience in regulatory, R&D operations, or scientific workflow environments (preferred)
  
• Experience with developing generative AI tools in life science (preferred)
  
• Exposure to data platforms, cloud architectures, and integrating AI services (preferred)
  
• Comfort working with complex datasets xcskxlj and metadata schemas (preferred)
  
• Understands AI/ML fundamentals and collaborates effectively with technical teams (preferred)
  
• Bridges business needs with technical capabilities (preferred)
  
• Breaks down workflows into modular product features (preferred)
  
• Balances delivery with long‑term product vision (preferred)
  
• Identifies opportunities to improve workflows using AI (preferred)
  
• Synthesizes user input, technical constraints, and enterprise priorities (preferred)
  
• Strong communicator across technical and non‑technical audiences (preferred)
  
• Influences within matrixed environments (preferred)
  
• Presents product progress and insights effectively (preferred)
  
• Uses data to inform decisions and measure product success (preferred)
  
• Strong critical thinking and ability to derive insights from complex info (preferred)
  
• Experience with experimentation or evaluation frameworks preferred
  

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